from datetime import timedelta

from utils.operators.cluster_for_spark_sql_operator import SparkSqlOperator
from datetime import timedelta
import pendulum
from jms.dm.dm_mng_complaint_daliy_network_summary_dt import jms_dm__dm_mng_complaint_daliy_network_summary_dt
from airflow.exceptions import AirflowSkipException
from jms.time_sensor.time_after_07_30 import time_after_07_30


cst = pendulum.timezone('Asia/Shanghai')

class BranchSparkSqlSensor(SparkSqlOperator):

    def pre_execute(self, context):
        day = cst.convert(context['ti'].execution_date) + timedelta(days=1)
        schedule_date = ['03']
        if day.strftime('%d') not in schedule_date:
            print(f'{day.strftime("%d")} not in {schedule_date}, should skip')
            super().pre_execute(context)
            raise AirflowSkipException()
        else:
            print(f'{day.strftime("%d")} in {schedule_date}, run now')
            super().pre_execute(context)


jms_dm__dm_mng_complaint_daliy_mth_exclude_mt = BranchSparkSqlSensor(
    task_id='jms_dm__dm_mng_complaint_daliy_mth_exclude_mt',
    task_concurrency=1,
    depends_on_past=True,
    pool_slots=2,
    master='yarn',
    execution_timeout=timedelta(minutes=30),
    email=['jimmyk.ji@jtexpress.com', 'yl_bigdata@yl-scm.com'],
    name='jms_dm__dm_mng_complaint_daliy_mth_exclude_mt_{{ execution_date | date_add(1) | cst_ds }}',
    sql='jms/dm/dm_mng_complaint_daliy_mth_exclude_mt/execute.hql',
    driver_memory='4G' ,
    driver_cores=2 , 
    executor_cores=4 ,
    executor_memory='6G' ,
    num_executors=6 ,
    conf={'spark.dynamicAllocation.enabled': 'true',  # 动态资源开启
          'spark.shuffle.service.enabled': 'true',  # 动态资源 Shuffle 服务开启
        'spark.dynamicAllocation.maxExecutors'             : 8 ,
          'spark.dynamicAllocation.cachedExecutorIdleTimeout': 60,  # 动态资源自动释放闲置 Executor 的超时时间(s)
          'spark.sql.sources.partitionOverwriteMode': 'dynamic',  # 允许删改已存在的分区
          'spark.sql.shuffle.partitions': 80,
          'spark.default.paralleism': 80,
          'spark.hadoop.hive.exec.dynamic.partition.mode': 'true',
          'spark.network.timeout': 900,
          'spark.core.connection.ack.wait.timeout': 300,
          'spark.sql.autoBroadcastJoinThreshold': 104857600,
          'spark.yarn.executor.memoryOverhead': 8192,
          },
    hiveconf={'hive.exec.dynamic.partition': 'true',  # 动态分区
              'hive.exec.dynamic.partition.mode': 'nonstrict',
              'hive.exec.max.dynamic.partitions': 400,  # 每天生成 20 个分区
              'hive.exec.max.dynamic.partitions.pernode': 200,  # 每天生成 20 个分区
              },
    yarn_queue='pro',
)

jms_dm__dm_mng_complaint_daliy_mth_exclude_mt << [
    jms_dm__dm_mng_complaint_daliy_network_summary_dt,
    time_after_07_30

]
